• Korean Journal of Social Welfare
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• v.59 no.4
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• pp.137-162
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• 2007

In democracy basic rights such as political equality and participation through elections have been respected, opportunities of corporation and opposition have been guaranteed, and ability of self-learning and self-correction have been developed. These positive factors give preconditions for the welfare development in the democratic state. Because in this state adults get the suffrage and the open competition for official positions induces political parties use social policies as means to win the election. That is to say, political parties have an incentive to use various social policies to win the election. Democracy, therefore, has affinity with social policy. The affinity between democracy and social policy can be found also in Korea which was democratized in 1987. But, in Korea, the positive relationship between democracy and social policy is very weak due to the problem of constitutional structures. Korean Parliament usually enacts abstract social act and delegates the right to fill concrete contents of the social acts to the executive. Delegation itself has no problem, but excessive delegation is a problem since the executive can overuse its discretion as sacrificing the social rights of the citizen. In addition social consensus could not be achieved in this constitutional structures, which are a obstacle to establishing a political process in the Parliament to promote the welfare development through party competition. Excessive delegation should be reduced, and the Parliament should fill concrete contents of the social acts as exercising its legislative power more. Then a mechanism of welfare development can be launched in Korea.

• Journal of Families and Better Life
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• v.2 no.1
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• pp.131-150
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• 1984

The purpose of this study is to explore the family as an interaction system, concentrating on the mutual influences between communication and family development; (1) how Communication patterns affect family relationships, and (2) how relationships among family members affect communication. In order to do this Galvin, Brommel used the following frame work; family is a system in which communication regulates cohesion and adaptability by a flow of message patterns through a defined network of evolving interdependent relationships. A family system consists of members, the relationships among them, the family attributes, the members attributes and an environment in which family functions. Within the framework of common cultural communication patterns, each family has the capacity to develop its own communication code based on the experiences of individual members and the collective family experience. Most of us develop our communication skills within the family context learning both the general cultural language and the specific familial communication code. Communication may be viewed as a symbolic, transactional process as the process of creating and sharing meanings. To say that communication is a process implies a continuous interaction of an indefinite large numbers of variables with a concomitant,. continuous change in the values taken by these variables. Finally the process implies change, Family functions include the primary functions of cohesion and adaptability, and supporting functions of family images, themes, boundaries, and biosocial issues. The primary functions reveal concepts integrated family interaction and supporting function, along with those of cohesion and adaptability, give shape to family life. the characteristics of developed relationships of richness, uniqueness efficiency, substitutability, pacing , openness spontaneity, and evaluation are reflected in the verbal and nonverbal behaviors with which family members negotiated a set of common meanings and develop thier own unique message system. The message system is the major element of communication process and influences both the form and the content of thier relationship and in create and share meanings. Family systems need to provide order and predictability for thier members, specifically focusing on communication rules and the networks by which messages are transmitted. Most rules emerge as a result of multiful interactions. There are basic rules and rules about rules, or metarules. Perceiving the rules of family system is very difficult because often family members don't think about the basic rules, much less the metarules. Breaking the rule may result in the creation of a new set because the system may recalibrate itself to accept more variety of behavior. Families develop communication networks to deal with the general issue. Family adaptability may be seen through the degree of flexibility in forming and reforming networks and networks become a vital part of the decision- making process and relate to the power dynamics operating within the family. Networks also play an integral part in maintaining the roles and rules operating with the family system. Thus networks and rules have mutual influence. The family -of -origin issues influence all aspects of family communication and account for many of the communication patterns, rules and networks and the role of the family -of-origin influences as a primary force for communication on behavior of newly forming systems. Each family system develops its own communication meanings. There is not one right way to communicate within a family but may be indefinitly large change of family life and communication behavior. Study on functional family communication helps to gain a better understanding of dynamics of family communication and ability of a new insight into the family.

• (The)Study of the Eastern Classic
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• no.62
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• pp.9-35
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• 2016

This study examined Songgye Na-sik's(松桂懶湜, 1684~1765) literary world based on Priest Songgye's Anthology(松桂大禪師文集). In consideration of the insufficiencies of the only previous study on Songgye's literature, this study was focused on his ideological character and its historicity, the trend of literary exchange in the Buddhist circle, and the literary geographical aspect of his literature. Priest Songgye was the head of the Bonghwa-sa Temple in Andong during the years under the rule of Kings Sukjong and Yeongjo, and learned from Hwanseong Ji-ahn(喚醒志安, 1664~1729) and Nakam Eui-nul(落巖義訥, 1666~1737). The priest did not have many students under him nor leave numerous writings. In the process of the development of the Buddhist doctrines in the late Joseon Dynasty, however, he completed the scripture learning courses faithfully and laid the ground of his philosophy. In addition, the afterword of Hwaeomgyeongchilcheogupumhoipummok (華嚴經七處九會品目跋) shows that he compiled the book under his teacher's instruction. What is more, he is known to have devoted himself to belief in the Pure Land in his late years. Given these backgrounds, the priest's life, writings, and ideological tendencies pursued all of Zen, Hwaeom, and the Pure Land together, and at the same time, reflected the characteristics of Korean Buddhism in the 18th century. The priest steadily cultivated himself in poetry and established his own literary world, and all the outcomes were fully reflected in his anthology. Priest Songgye walked the road of a learner throughout his lifetime but, on the other hand, he established his identity as a literary man in the specific time and space of Andong, Yeongnam in the late Joseon Dynasty.

• Journal of the Korean Chemical Society
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• v.66 no.5
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• pp.362-375
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• 2022

In this study, science teachers' NOS lessons were observed and the characteristics of the lessons were analyzed. Three science teachers who taught NOS in the 'Science Inquiry Experiment' developed under the 2015 revised curriculum participated in the study. Their NOS lessons were observed and interviews were conducted before and after lessons. The collected data were analyzed using analytical induction and constant comparative method. The analyses of the result revealed the teachers' naive views on NOS were also revealed during the lessons. There were some cases where they showed naive views during the lessons even if they showed informed views in the interviews. Although the domains of NOS taught by them were diverse, all of them taught 'tentativeness' and considered this an important goal. They tended to teach NOS with content related with their major, and teaching NOS was found to be deeply related to their major. In the activity where students learn NOS by inferring the unknown object, teachers disclosed the unknown object, which is unlike the rule of the activity. They thought that could help students' learning. At last, although they emphasized teaching NOS, they either did not assess NOS or assessed NOS in a limited way. Based on the results, some directions for teacher education and follow-up study are suggested.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.3
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• pp.125-132
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• 2022

Sentence compression is a natural language processing task that generates concise sentences that preserves the important meaning of the original sentence. For grammatically appropriate sentence compression, early studies utilized human-defined linguistic rules. Furthermore, while the sequence-to-sequence models perform well on various natural language processing tasks, such as machine translation, there have been studies that utilize it for sentence compression. However, for the linguistic rule-based studies, all rules have to be defined by human, and for the sequence-to-sequence model based studies require a large amount of parallel data for model training. In order to address these challenges, Deleter, a sentence compression model that leverages a pre-trained language model BERT, is proposed. Because the Deleter utilizes perplexity based score computed over BERT to compress sentences, any linguistic rules and parallel dataset is not required for sentence compression. However, because Deleter compresses sentences only considering perplexity, it does not compress sentences by reflecting the linguistic information of the words in the sentences. Furthermore, since the dataset used for pre-learning BERT are far from compressed sentences, there is a problem that this can lad to incorrect sentence compression. In order to address these problems, this paper proposes a method to quantify the importance of linguistic information and reflect it in perplexity-based sentence scoring. Furthermore, by fine-tuning BERT with a corpus of news articles that often contain proper nouns and often omit the unnecessary modifiers, we allow BERT to measure the perplexity appropriate for sentence compression. The evaluations on the English and Korean dataset confirm that the sentence compression performance of sentence-scoring based models can be improved by utilizing the proposed method.

• The Journal of Bigdata
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• v.8 no.1
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• pp.99-109
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• 2023

Recently, not only in Korea but also around the world, we have been experiencing constant disasters such as typhoons, wildfires, and heavy rains. The property damage caused by typhoons and heavy rain in South Korea alone has exceeded 1 trillion won. These disasters have resulted in significant loss of life and property damage, and the recovery process will also take a considerable amount of time. In addition, the government's contingency funds are insufficient for the current situation. To prevent and effectively respond to these issues, it is necessary to collect and analyze accurate data in real-time. However, delays and data loss can occur depending on the environment where the sensors are located, the status of the communication network, and the receiving servers. In this paper, we propose a two-stage hybrid situation analysis and prediction algorithm that can accurately analyze even in such communication network conditions. In the first step, data on river and stream levels are collected, filtered, and refined from diverse sensors of different types and stored in a bigdata. An AI rule-based inference algorithm is applied to analyze the crisis alert levels. If the rainfall exceeds a certain threshold, but it remains below the desired level of interest, the second step of deep learning image analysis is performed to determine the final crisis alert level.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.21-29
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• 2023

In this paper, we propose an AI-based system for automatically classifying industry and occupation codes in the population census. The accurate classification of industry and occupation codes is crucial for informing policy decisions, allocating resources, and conducting research. However, this task has traditionally been performed by human coders, which is time-consuming, resource-intensive, and prone to errors. Our system represents a significant improvement over the existing rule-based system used by the statistics agency, which relies on user-entered data for code classification. In this paper, we trained and evaluated several models, and developed an ensemble model that achieved an 86.76% match accuracy in industry and 81.84% in occupation, outperforming the best individual model. Additionally, we propose process improvement work based on the classification probability results of the model. Our proposed method utilizes an ensemble model that combines transfer learning techniques with pre-trained models. In this paper, we demonstrate the potential for AI-based systems to improve the accuracy and efficiency of population census data classification. By automating this process with AI, we can achieve more accurate and consistent results while reducing the workload on agency staff.

• The Journal of Korean Philosophical History
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• no.29
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• pp.125-152
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• 2010

The main purpose of this dissertation is a introductive proposal to reconstruct confucian moral principles. The most classical question in moral principles is : what is the good. In order to reconstruct confucian moral principles, this dissertation begin with question of what is the good in confucian moral principles. Confucianism believe in reality of the human good mind and good nature. Confucian the human good mind and good nature is comprised of benevolence, righteousness, propriety and wisdom. Benevolence, righteousness, propriety and wisdom(四德) is the origin of morality. Confucian's moral principles of human relationship is none other than conscientiousness and altruism. Conscientiousness is a principle of self-cultivation and self-revelation. As to altruism, confucious said, "the man of perfect virtue, wishing to be established himself", or "do not impose on others what you do not desire others to impose upon you." Altruism is rectified as a principle of reciprocity methodology of the making of whole kingdom peaceful in The Great Learning. Confucian golden rule(conscientiousness and altruism is equal to Kantian categorical imperative in The Fundamental principles of Metaphysics of Ethics. : Act only on that maxim through which you can at the same time will that it should become a universal law ... etc. Kant's three principles of moral philosophy(Categorical Imperatives) imply that the idea of universality, freedom, and the kingdom of ends. We contrast confucian moral principles with Kant's three principles of Categorical Imperatives. In conclusion, confucian moral principles implicate Kant's principle of universalizability and impartiality.

• Journal of the Daesoon Academy of Sciences
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• v.22
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• pp.471-507
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• 2014

Edification in Daesoonjinrihoe is not only a phenomenon that occurs following the differences of religious experience or spiritual development among the community members, which enables the members to share teaching and learning experiences with one another, but also an issue determined as one of the major activities of the religious order and a plan for achieving the purpose of the religious order-Podeokchenha(Wordly Propagation), Gujechansaeng (Salvation of all mankind) and Jisangcheonguk Geonseol(Building of earthly paradise). The purpose of this article is to clarify its concept and provide an example of edification, through considering the historical model for edification to help the cultivators with their work of edification. The archetype of edification of Daesoonjinrihoe was formed and gradually developed in phases by Sangje, Kang Jeungsan, the Supreme God(姜甑山, 1871-1909), Doju, Jo Jeongsan(趙鼎山, 1895-1958) and Dojeon, Park Wudang(朴牛堂, 1917-1995), by the three of whom the Religious Authority was succeeded. Sangje descended to the human world and preached to people to live by the rule of Haewon Sangsaeng(Resolution of grievances for the mutual beneficences of all life) and set an example of abolishing the old customs, living in mutual beneficences and having respect for human being. Doju, in revering the last will of Sangje, established the religious order by setting its creed, rituals and activities, which formed most contents of the archetype of edification. Dojeon set up a religious faith system by firmly establishing the Religious Authority and performed the True Law in accordance with Sangje's program of heaven to educate the cultivators to achieve the goal of self-cultivation following the last will of Doju. Through this, a perfect method to reach the state of Dotong(The Truly Unified State of Dao) is fulfilled. In this way, the archetype of edification was formed in the process of succession of Religious Authority. In conclusion, edification in Daesoonjinrihoe contributes to a 'systematic conveyance and understanding' through the historical archetype of edification, and it can be described as a concept that becomes a model to put into practice the 'True Law' of teachings given by two Sangjes for Dotong. Therefore, edification of Daesoonjinrihoe is drawing attention of its development as an important activity that realizes the ultimate value of the religious order because it solves the problems of immorality(absence of Dao), disorder and disregard of human value generated from the other side of this material civilization, with the truth of Haewon Sangsaeng, and has a function of rebuilding and leading the individuals and the society to the Truly Unified State of Dao through performing of the True Law.

• Information Systems Review
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• v.22 no.1
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• pp.59-72
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• 2020

Artificial Intelligence is establishing itself as a familiar tool from an intractable concept. In this trend, financial sector is also looking to improve the problem of existing system which includes Fraud Detection System (FDS). It is being difficult to detect sophisticated cyber financial fraud using original rule-based FDS. This is because diversification of payment environment and increasing number of electronic financial transactions has been emerged. In order to overcome present FDS, this paper suggests 3 types of artificial intelligence models, Generative Adversarial Network (GAN), Deep Neural Network (DNN), and Convolutional Neural Network (CNN). GAN proves how data imbalance problem can be developed while DNN and CNN show how abnormal financial trading patterns can be precisely detected. In conclusion, among the experiments on this paper, WGAN has the highest improvement effects on data imbalance problem. DNN model reflects more effects on fraud classification comparatively.